Virtualization with QEMU, KVM and Libvirt Training Course

This instructor-led, live training in Argentina (online or onsite) is aimed at advanced-level platform engineers and DevOps professionals who wish to master scaling applications using microservices and Kubernetes.

By the end of this training, participants will be able to:

• Design and implement scalable microservices architectures.
• Deploy and manage applications on Kubernetes clusters.
• Utilize Helm charts for efficient service deployment.
• Monitor and maintain the health of microservices in production.
• Apply best practices for security and compliance in a Kubernetes environment.

Kubernetes is a widely adopted container orchestration platform designed for managing distributed applications at scale.

This instructor-led live training, available online or onsite, is designed for advanced practitioners aiming to leverage AI and machine learning techniques to optimize Kubernetes resource usage, scheduling decisions, and autoscaling strategies.

Upon completing this program, participants will be able to:

• Apply AI/ML models to enhance workload scheduling decisions in Kubernetes.
• Utilize predictive analytics to optimize CPU, GPU, and memory allocation.
• Implement intelligent autoscaling using reinforcement learning and metric forecasting.
• Reduce infrastructure costs and latency through automated resource optimization.

Course Format

• Instructor-guided technical presentations and deep-dive discussions.
• Hands-on lab work using real Kubernetes clusters.
• Practical exercises applying AI models to real operational scenarios.

Customization Options

• To tailor this course to your specific platform setup or operational requirements, please contact us for customization.

Apache Karaf serves as an OSGi-based runtime environment designed for deploying containerized applications.

In this instructor-led live training (available onsite or remotely), participants will learn to establish an OSGi-based project by walking through the deployment of a modular Java application utilizing Apache Karaf.

Upon completion of this training, participants will be able to:

• Install and configure Apache Karaf
• Grasp the fundamental features of the OSGi runtime environment
• Construct a containerized application using the Apache Karaf runtime environment

Target Audience

• Architects
• Developers

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice.

Note

• To arrange a customized training session for this course, please contact us.

DO180 serves as a foundational guide to containers, core Kubernetes principles, and Red Hat OpenShift platform concepts, emphasizing practical, hands-on learning.

This live, instructor-led training—available either online or at your location—is designed for technical professionals at beginner to intermediate levels who aim to master container workflows, understand Kubernetes primitives, and learn to deploy and manage applications on OpenShift.

Upon completion of this training, participants will be equipped to:

• Create and manage container images and registries, adhering to best practices for security and reproducibility.
• Deploy and administer Kubernetes objects, including pods, deployments, and services, within OpenShift.
• Leverage OpenShift features such as routes, BuildConfigs, and the web console to accelerate application delivery.
• Configure persistent storage, handle configuration management, and manage secrets to support stateful workloads.
• Implement essential security measures, Role-Based Access Control (RBAC), and monitoring practices to ensure cluster and application health.

Course Delivery Format

• Interactive lectures and discussions.
• Daily hands-on labs conducted in a live OpenShift environment.
• Scenario-based exercises and troubleshooting workshops.

Customization Options

• For inquiries regarding customized training for this course, please contact us to arrange.

In this instructor-led live training in Argentina, participants will learn how to manage the Red Hat OpenShift Container Platform.

By the end of this training, participants will be able to:

• Create, configure, manage, and troubleshoot OpenShift clusters.
• Deploy containerized applications on-premises, in the public cloud, or on a hosted cloud.
• Secure the OpenShift Container Platform.
• Monitor and collect metrics.
• Manage storage.

In this instructor-led, live training in Argentina, participants will learn how to utilize OpenShift Container Platform to deploy containerized applications.

Upon completion of this training, participants will be capable of:

• Creating and configuring an OpenShift environment.
• Swiftly deploying applications on-premises, in public cloud environments, or on hosted cloud platforms.

This instructor-led, live training in Argentina (online or onsite) is designed for engineers looking to leverage Helm to simplify the installation and management of Kubernetes applications.

Upon completion of this training, participants will be able to:

• Install and configure Helm.
• Build reproducible Kubernetes applications.
• Distribute applications as Helm charts.
• Execute third-party applications provided as Helm charts.
• Manage Helm package releases.

This instructor-led, live training in Argentina (online or onsite) is designed for beginner to intermediate software developers and DevOps professionals seeking to learn how to set up and manage a local Kubernetes environment using Minikube.

Upon completion of this training, participants will be able to:

• Install and configure Minikube on their local machine.
• Grasp the fundamental concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Configure persistent storage and networking solutions for Kubernetes.
• Leverage Minikube for application development, testing, and debugging.

This instructor-led, live training in Argentina (online or onsite) is designed for intermediate developers and DevOps engineers aiming to utilize Minikube within their development workflows.

By the end of this training, participants will be able to:

• Set up and manage a local Kubernetes environment using Minikube.
• Understand how to deploy, manage, and debug applications on Minikube.
• Integrate Minikube into their continuous integration and deployment pipelines.
• Optimize their development process using Minikube's advanced features.
• Apply best practices for local Kubernetes development.

In this instructor-led, live training in Argentina (onsite or remote), participants will learn how to install, configure, and manage OKD in on-premise or cloud environments.

Upon completion of this training, participants will be able to:

• Create, configure, manage, and troubleshoot an OKD cluster.
• Implement security measures for OKD.
• Deploy containerized applications on OKD.
• Monitor the performance of applications running within OKD.
• Manage data storage solutions.
• Rapidly deploy applications in on-premise settings or on public clouds like AWS.

OpenShift Container Platform v4 is an enterprise-grade Kubernetes platform created by Red Hat, designed to automate the deployment, scaling, and management of containerized applications.

This instructor-led, live training (available online or onsite) targets system administrators and DevOps engineers looking to deploy, manage, and operate OpenShift clusters in production environments.

The course adopts a hands-on approach to installing and managing OpenShift 4 clusters, working with Operators, securing workloads, and operating applications at scale.

In this instructor-led, live training in Argentina (online or onsite), participants will learn how to create, update, and maintain applications using OpenShift Container Platform.

By the end of this training, participants will be able to:

• Understand the Open Containers Initiative (OCI) and its implications for using container engines like Docker in OpenShift.
• Understand the relationship between the different versions of OpenShift (OKP, OpenShift Container Platform, Red Hat OpenShift, etc.).
• Automate the software delivery pipeline.
• Apply DevOps principles to deliver software continuously.

In this instructor-led, live course, participants gain an overview of Rancher and learn how to deploy and manage a Kubernetes cluster through practical, hands-on exercises.

This instructor-led, live training in Argentina (online or onsite) is designed for intermediate-level infrastructure professionals aiming to use Red Hat OpenShift to deploy, manage, and troubleshoot production containerized workloads.

By the end of this training, participants will be capable of managing OpenShift clusters via the CLI and web console, deploying applications using container images and Kubernetes manifests, troubleshooting networking and storage issues, and configuring workloads for high availability and updates.